| Smooth kinetic maintenance of clusters |
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Annual Symposium on Computational Geometry
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Proceedings of the nineteenth annual symposium on Computational geometry
table of contents
San Diego, California, USA
SESSION: Approximation
table of contents
Pages: 48 - 57
Year of Publication: 2003
ISBN:1-58113-663-3
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Downloads (6 Weeks): 3, Downloads (12 Months): 22, Citation Count: 8
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ABSTRACT
We propose a simple, deterministic kinetic data structure (KDS) for maintaining a covering of moving points by axis-aligned unit boxes in Rd. The number of boxes is always within a factor of 3d of the best possible static covering. In the plane, this approximation factor (9) compares favorably with the approximation factor (around one million) of the best previous algorithm. The new KDS is efficient, local, compact, and responsive.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 8
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David M. Mount , Nathan S. Netanyahu , Christine D. Piatko , Ruth Silverman , Angela Y. Wu, A computational framework for incremental motion, Proceedings of the twentieth annual symposium on Computational geometry, June 08-11, 2004, Brooklyn, New York, USA
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